Discussion on "Two-Stage Procedures for High-Dimensional Data" by Makoto Aoshima and Kazuyoshi Yata

Pinyuen Chen, S. Panchapakesan

Research output: Contribution to journalArticle

Abstract

Professors Mokoto Aoshima and Kaziyoshi Yata have considered several types of statistical inference problems for multivariate high-dimensional data in the so-called large p, small n situation. For this purpose, in their article they have developed the theory for asymptotic normality when p → ∞. Their work opens up new directions for further investigations and generalizations. We briefly comment on these and discuss a multinomial problem.

Original languageEnglish (US)
Pages (from-to)412-415
Number of pages4
JournalSequential Analysis
Volume30
Issue number4
DOIs
StatePublished - Oct 1 2011

Keywords

  • Asymptotic normality
  • High-dimensional data
  • Multinomial population
  • Two-stage procedures

ASJC Scopus subject areas

  • Statistics and Probability
  • Modeling and Simulation

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